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1.
Flannick, J.* et al.: Exome sequencing of 20,791 cases of type 2 diabetes and 24,440 controls. Nature 570, 71-76 (2019)
2.
Justice, A.E.* et al.: Protein-coding variants implicate novel genes related to lipid homeostasis contributing to body-fat distribution. Nat. Genet. 51, 452–469 (2019)
3.
Koivula, R.W.* et al.: Discovery of biomarkers for glycaemic deterioration before and after the onset of type 2 diabetes: Descriptive characteristics of the epidemiological studies within the IMI DIRECT Consortium. Diabetologia, accepted (2019)
4.
Marchetti, P.* et al.: Fostering improved human islet research: A European perspective. Diabetologia, accepted (2019)
5.
Middeldorp, C.M.* et al.: The Early Growth Genetics (EGG) and EArly Genetics and Lifecourse Epidemiology (EAGLE) consortia: Design, results and future prospects. Eur. J. Epidemiol. 34, 279-300 (2019)
6.
Spracklen, C.N.* et al.: Exome-derived adiponectin-associated variants implicate obesity and lipid biology. Am. J. Hum. Genet., accepted (2019)
7.
Warrington, N.M.* et al.: Maternal and fetal genetic effects on birth weight and their relevance to cardio-metabolic risk factors. Nat. Genet. 51, 804-814 (2019)
8.
Flannick, J.* et al.: Sequence data and association statistics from 12,940 type 2 diabetes cases and controls. Sci. Data 5:180002 (2018)
9.
Jiang, X.* et al.: Genome-wide association study in 79,366 European-ancestry individuals informs the genetic architecture of 25-hydroxyvitamin D levels. Nat. Commun. 9:260 (2018)
10.
Mahajan, A.* et al.: Refining the accuracy of validated target identification through coding variant fine-mapping in type 2 diabetes. Nat. Genet. 50, 559-571 (2018)
11.
Carrat, G.R.* et al.: Decreased STARD10 expression is associated with defective insulin secretion in humans and mice. Am. J. Hum. Genet. 100, 238-256 (2017)
12.
Day, F.R.* et al.: Genomic analyses identify hundreds of variants associated with age at menarche and support a role for puberty timing in cancer risk. Nat. Genet. 49, 834-841 (2017)
13.
Flannick, J.* et al.: Sequence data and association statistics from 12,940 type 2 diabetes cases and controls. Sci. Data 4:170179 (2017)
14.
Justice, A.E.* et al.: Genome-wide meta-analysis of 241,258 adults accounting for smoking behaviour identifies novel loci for obesity traits. Nat. Commun. 8:14977 (2017)
15.
Manning, A.* et al.: A low-frequency inactivating Akt2 variant enriched in the Finnish population is associated with fasting insulin levels and type 2 diabetes risk. Diabetes 66, 2019-2032 (2017)
16.
Molnos, S. et al.: Metabolite ratios as potential biomarkers for type 2 diabetes: A DIRECT study. Diabetologia 61, 117-129 (2017)
17.
Scott, R.A.* et al.: An expanded genome-wide association study of type 2 diabetes in Europeans. Diabetes 66, 2888-2902 (2017)
18.
Wahl, S. et al.: Epigenome-wide association study of body mass index, and the adverse outcomes of adiposity. Nature 541, 81-86 (2017)
19.
Wheeler, E.* et al.: Impact of common genetic determinants of Hemoglobin A1c on type 2 diabetes risk and diagnosis in ancestrally diverse populations: A transethnic genome-wide meta-analysis. PLoS Med. 14:e1002383 (2017)
20.
Wood, A.R.* et al.: A genome-wide association study of IVGTT-based measures of first-phase insulin secretion refines the underlying physiology of type 2 diabetes variants. Diabetes 66, 2296-2309 (2017)